Book Image

Secret Recipes of the Python Ninja

Book Image

Secret Recipes of the Python Ninja

Overview of this book

This book covers the unexplored secrets of Python, delve into its depths, and uncover its mysteries. You’ll unearth secrets related to the implementation of the standard library, by looking at how modules actually work. You’ll understand the implementation of collections, decimals, and fraction modules. If you haven’t used decorators, coroutines, and generator functions much before, as you make your way through the recipes, you’ll learn what you’ve been missing out on. We’ll cover internal special methods in detail, so you understand what they are and how they can be used to improve the engineering decisions you make. Next, you’ll explore the CPython interpreter, which is a treasure trove of secret hacks that not many programmers are aware of. We’ll take you through the depths of the PyPy project, where you’ll come across several exciting ways that you can improve speed and concurrency. Finally, we’ll take time to explore the PEPs of the latest versions to discover some interesting hacks.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Packt Upsell
Foreword
Contributors
Preface
Index

Reviewing functions


Because it is important to understand how functions work when we deal with decorators, we'll take a quick look at them. First, we need to remember that everything in Python is an object, including functions.

Functions are created in Python by using the def keyword and naming the function; input arguments are optional. Following is a basic function for reference:

def func_foo():
    pass

How to do it...

  1. Functions can have multiple names, that is, in addition to the function name itself, the function can be assigned to one or more variables. Each name has the same capabilities of the underlying function:
      >>> def first_func(val):
      ...     print(val)
      ...
      >>> new_name = first_func
      >>> first_func("Spam!")
      Spam!
      >>> new_name("Spam too!")
      Spam too!
  1. Functions can be used as arguments for other functions. Some Python built-in functions, such as map and filter, use this feature to do their jobs:
      &gt...